Cluster variables work in a manner that is similar to cluster observations. Here, we are interested in the columns and variables in the worksheet rather than grouping the observations and rows.
We will look at the dataset for car fuel efficiency to identify groups of variables, or rather identify the columns that are similar to each other.
This dataset was collected from manufacturer-stated specifications.
mpg.MTW
worksheet.CO2
, Cylinders
, Weight
, Combined mpg
, Max hp
, and Capacity
into the Variables or distance matrix: section.As with cluster observations, we have used the single linkage method by default. We have the same options for the linkage method and distance measure as the ones used in cluster observations.
The results for the variables here show us that the combined mpg is very different when compared to the other variables.
For larger numbers of variables, dendrograms can be split into separate graphs by clusters. The Customize… option for the dendrogram can be set to the maximum number of observations per graph.
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